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Analysis Study Research Paper | Computer Science & Engineering | India | Volume 9 Issue 4, April 2020 | Rating: 3.5 / 10

Decentralization of Big Data with Blockchain

Venkata Naga Sai Kiran Challa ^[2]

Abstract: Based on these concepts, this paper investigates how Blockchain technology can be integrated with Big Data and Machine Learning as a decentralized storage and processing. This paper seeks to capitalize on Blockchain technology's decentralized model for better and more secure data handling and Machine Learning for improved data analysis. Some of the discoveries are the opportunities for future automation by smart contracts, the increased privacy of groups' data by federated learning, and Machine Learning algorithms for more efficient anomaly detection. It solves critical problems of centralized data systems like a centralized point of failure, vulnerability to cyberattacks, and slow data handling. The findings of this research also have significant implications for managing big data using a new and better approach that is more effective and efficient in terms of scalability and security. Nevertheless, integrating these technologies for data management and analysis may present challenges in complexity, computational overhead, and scalability; however, the advantages of applying these technologies have great potential for future developments.

Keywords: Blockchain, Big Data, Machine Learning, decentralized storage, data security

Edition: Volume 9 Issue 4, April 2020,

Pages: 1837 - 1849